# -*- coding: utf-8 -*-
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator
from datetime import timedelta

from jms.dm.dm_scan_bagging_true_detail_dt import jms_dm__dm_scan_bagging_true_detail_dt

jms_dm__dm_scan_bagging_true_summary_dt = SparkSqlOperator(
    task_id='jms_dm__dm_scan_bagging_true_summary_dt',
    task_concurrency=1,
    pool_slots=2,
    master='yarn',
    execution_timeout=timedelta(minutes=30),
    email=['jokic.wang@jtexpress.com'],
    name='jms_dm__dm_scan_bagging_true_summary_dt_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dm/dm_scan_bagging_true_summary_dt/execute.hql',
    driver_memory='4G',
    driver_cores=1,
    executor_cores=4,
    executor_memory='4G',
    num_executors=6,
    conf={
        'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
        'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
        'spark.dynamicAllocation.maxExecutors': 10,
        'spark.dynamicAllocation.cachedExecutorIdleTimeout': 60,  # 动态资源自动释放闲置 Executor 的超时时间(s)
        'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
        'spark.executor.memoryOverhead': '2G',
        'spark.sql.shuffle.partitions': 72,
        'spark.sql.autoBroadcastJoinThreshold': 104857600,  # MapJoin 阈值 100M
        'spark.yarn.maxAppAttempts': 1
    },
    hiveconf={
        'hive.exec.dynamic.partition': 'true',  # 动态分区
        'hive.exec.dynamic.partition.mode': 'nonstrict',
        'hive.exec.max.dynamic.partitions': 20,  # 每天生成 20 个分区
        'hive.exec.max.dynamic.partitions.pernode': 20  # 每天生成 20 个分区
    },
)

jms_dm__dm_scan_bagging_true_summary_dt << [
    jms_dm__dm_scan_bagging_true_detail_dt
]
